Abstract
Elastic optical networks (EONs) and space-division multiplexing (SDM) have emerged as a promising technology to accommodate the high-capacity and dynamic bandwidth demands of next-generation network. However, the problems of high energy consumption and inter-core crosstalk (ICXT) in space-division multiplexing elastic optical networks (SDM-EONs) are also particularly prominent. In this paper, we proposed an energy efficient grooming and hybrid crosstalk solution (EEG-HCS) algorithm. Firstly, in the routing strategy, a candidate path sorting formula combined the path length and path load state is designed to select the candidate paths and balance the network load. According to the sorting result, whether the current candidate path satisfied the energy efficiency grooming condition or not is determined. When the candidate path meet the energy efficiency grooming condition, the energy efficiency grooming algorithm is used to reduce the transmission energy consumption. For traffic request that do not satisfied the grooming condition, a new optical path is established. Through the core priority grouping, combined with crosstalk avoidance strategy and ICXT aware algorithm, the impact of inter-core crosstalk is minimized, and the probability of successful transmission is improved. In order to evaluate the performance of proposed algorithm, ICXT improvement index is defined. The simulation results show that the proposed algorithm can significantly reduce the energy consumption of space-division multiplexing elastic optical network system while ensuring the optimal blocking probability performance.
Highlights
In recent years, with the rapid development of 5G mobile network, Internet of Things, cloud computing and other emerging technologies, diversified network traffics have led to an exponential growth in the volume of traffics represented by IP requests, and the annual growth rate of global network traffics exceeding 30% [1]
Elastic Optical Networks based on Orthogonal Frequency Division Multiplexing (OFDM) technology can adaptively select modulation level and flexibly allocate spectrum bandwidth, so it is widely considered to be next-generation optical network [2]
Based on the existing literature review, we found that the energy consumption of space-division multiplexing (SDM)-Elastic optical networks (EONs) is rarely studied
Summary
With the rapid development of 5G mobile network, Internet of Things, cloud computing and other emerging technologies, diversified network traffics have led to an exponential growth in the volume of traffics represented by IP requests, and the annual growth rate of global network traffics exceeding 30% [1]. Combining the above energy consumption and ICXT problems, this paper proposed an energy efficiency grooming and hybrid crosstalk solution (EEG-HCS) algorithm, which can reduce the fixed energy consumption and guard bandwidth by sharing the existing optical path. We introduce MCF priority grouping, spectrum partitioning strategy, candidate path sorting formula, energy efficiency grooming algorithm and crosstalk aware algorithm mentioned in the main algorithm. If (Energy Efficiency Grooming Algorithm return Success) Resources allocated successfully, Return Else (Create a new light path for the request) For ( All c in C): If (formula(15) result 0.8) Invoke ICXT-Aware Algorithm. The above-mentioned core priority grouping and spectrum partition belong to crosstalk avoidance operation This traffic-independent passive ICXT solution can effectively avoid crosstalk in medium and low traffic load.
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